Live migration is an essential feature in virtual infrastructure and cloud computing datacenters. Using live migration, virtual machines can be online migrated from a physical machine to another with negligible service interruption. Load balance, power saving, dynamic resource allocation, and high availability algorithms in virtual data-centers and cloud computing environments are dependent on live migration. Live migration process has six phases that result in live migration overhead. Currently, virtual datacenters admins run live migrations without an idea about the migration cost prediction and without recommendations about the optimal timing for initiating a VM live migration especially for large memory VMs or for concurrently multiple VMs migration. Without cost prediction and timing optimization, live migration might face longer duration, network bottlenecks and migration failure in some cases. The previously proposed timing optimization approach is based on using machine learning for live migration cost prediction and the network utilization predict ion of the cluster. In this paper, we show how to integrate our machine learning based timing optimization algorithm with VMware vSphere. This integration deployment proves the practicality of the proposed algorithm by presenting the building blocks of the tools and backend scripts that should run to implement this timing optimization feature. The paper shows also how the IT admins can make use of this novel cost prediction and timing optimization option as an integrated plug-in within VMware vSphere UI to be notified with the optimal timing recommendation in case of a having live migration request.

Introduction: Routinely in laparoscopic cholecystectomy, titanium clips were utilized to secure cystic duct and artery. Lately, there are lot of advances in sealing cystic duct and artery as Harmonic Scalpel, Plasma Kinetic sealer, intracorporeal and extracorporeal suturing. Although some of these methods are effective, they are expensive with low availability. Aim of the study:To evaluate the use of extracorporeal Mishra's knot in securing cystic duct and artery in laparoscopic cholecystectomy regarding operative time, cost effectiveness and post operative complications. Patients and methods:This prospective hospital-based study was conducted between October 2017 and November 2019 at Al-Jedaani hospitals, KSA. Thirty patients who underwent laparoscopic cholecystectomy were included. Cystic duct and artery were secured with extracorporeal Mishra's knot. Results:The mean operative time was 61.81 minutes ±3.31. Postoperative bile leak and superficial surgical site infection were reported in 3.3% and 6.7% respectively. The cost of used suture material was (10-14 $). Conclusion:Using extracorporeal Mishra's knot to secure cystic duct and artery is feasible, economic and safe.

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Background The Electroretinogram is a mass potential, which reflects the summed electrical activity of the retina. Full-field ERG measures the electrical signals from the whole retina in response to a light stimulus. The weakness of the full-field ERG is that it cannot provide topographical information regarding the functional integrity of the retina and cannot detect subtle functional defects. The response is dominated by the peripheral retina due to its predominance of retinal cells. Aim of the Work to investigate the effect of axial length on fullfield (ffERG)and multifocal ERG (mfERG). Subjects and Methods Forty-four eyes of 44 healthy subjects were included in this case series study which has been conducted at Ain shams university hospitals after the approval of the research ethical committee in the faculty of medicine, Ain Shams University between July 2018 and September 2019. Full ophthalmologic examination was performed for all participants, including visual acuity assessment (Best corrected visual acuity) using Snellen chart, calculation of spherical equivalent (SE), slit Lamp biomicroscopy examination with IOP measurement via Goldmann applanation tonometry (GAT), and fundus examination by indirect ophthalmoscope or via 90 D VOLK lens to assess macular area. Axial length measurement, ffERG & mf-ERG. Results; We found that in the absence of fundus changes, mfERG parameters showed decreased amplitudes with increase in axial length. The Six- Rings Response Densities showed negative correlation with AL while there is no significant correlation between Six- Rings Response Densities and SE. The Six- Rings P1 Amplitude showed negative correlation with AL while there is no significant correlation between P1 Amplitude and SE. The Six- Rings N1 Amplitude showed negative correlation with AL while there is no significant correlation between P1 Amplitude and SE. The four- quadrant Response Densities showed negative correlation with AL while there is no significant correlation between four- quadrant Response Densities and SE. The four- quadrant P1 Amplitude showed negative correlation with AL while there is no significant correlation between P1 Amplitude and SE. The four- quadrant N1 Amplitude showed negative correlation with AL while there is no significant correlation between P1 Amplitude and SE. There is no significant correlation between full-field clinical ERG parameters and both AL and SE. Conclusion In the absence of fundus changes, mfERG parameters showed decreased amplitudes with increase in axial length. For correct interpretation of ERG responses in clinical practice, we recommend consideration of axial length measurement when evaluating mfERG responses.